Batters



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Showing page 523 of 4181 (83616 total matches)
YEAR TEAM
ID 		NAME PLATE
APP 		ON
BASE 		AT
BATS 		TOTAL
BASES 		OB
AVG 		SLG
AVG 		OPS OPP
PIT
OB 		OPP
PIT
SLG 		OPP
PIT
OOPS 		EXPCT
OB
AVG 		EXPCT
SLG
AVG 		EXPCT
OPS 		LG
OPS 		PME
OB 		PME
SLG 		PME PF PME
OB
PF 		PME
SLG
PF 		PME
PF
1987 CAL Bill Buckner 194 65 183 79 0.335 0.432 0.767 0.332 0.411 0.743 0.333 0.421 0.755 0.756 2.3 7.9 10.2 1.02 2.3 7.9 10.2
1986 CAL George Hendrick 317 104 283 134 0.328 0.473 0.802 0.324 0.411 0.735 0.326 0.442 0.768 0.735 0.7 9.0 9.6 0.99 0.7 9.6 10.2
1967 CAL Jimmie Hall 447 142 401 162 0.318 0.404 0.722 0.308 0.365 0.673 0.313 0.384 0.697 0.651 2.2 8.4 10.5 0.98 2.1 8.2 10.2
1978 CAL Lyman Bostock 637 229 568 215 0.359 0.379 0.738 0.328 0.381 0.709 0.344 0.380 0.724 0.707 10.3 -1.1 9.2 0.99 11.2 -1.0 10.2
2010 CHA Andruw Jones 328 112 278 135 0.341 0.486 0.827 0.321 0.416 0.737 0.331 0.451 0.782 0.732 3.4 9.3 12.7 1.07 2.7 7.5 10.2
1950 CHA Hank Majeski 467 173 414 168 0.370 0.406 0.776 0.341 0.396 0.737 0.356 0.401 0.757 0.754 6.8 2.7 9.5 0.99 7.3 2.9 10.2
1941 CHN Lou Stringer 581 185 512 180 0.318 0.352 0.670 0.301 0.330 0.631 0.310 0.341 0.650 0.682 5.0 5.6 10.5 0.98 4.9 5.4 10.2
2017 CIN Jesse Winker 137 51 121 64 0.372 0.529 0.901 0.329 0.416 0.746 0.351 0.472 0.823 0.746 2.9 7.5 10.4 1.03 2.8 7.4 10.2
2011 CIN Ramon Hernandez 328 112 298 133 0.341 0.446 0.788 0.308 0.390 0.698 0.325 0.418 0.743 0.706 5.5 8.3 13.7 1.05 4.1 6.2 10.2
2005 CIN Rich Aurilia 468 158 426 189 0.338 0.444 0.781 0.322 0.408 0.730 0.330 0.426 0.755 0.741 3.7 7.8 11.5 1.01 3.3 6.9 10.2
1935 CIN Samuel Byrd 460 146 416 169 0.317 0.406 0.724 0.306 0.372 0.678 0.312 0.389 0.701 0.717 2.6 7.4 10.0 0.99 2.7 7.5 10.2
1953 CIN Willard Marshall 400 136 357 172 0.340 0.482 0.822 0.344 0.422 0.766 0.342 0.452 0.794 0.743 -0.6 10.8 10.2 1.02 -0.6 10.8 10.2
1983 CLE Gorman Thomas 437 140 371 150 0.320 0.404 0.725 0.314 0.399 0.713 0.317 0.402 0.719 0.726 3.9 5.9 9.8 1.02 4.1 6.1 10.2
1993 CLE Sam Horn 36 17 33 28 0.472 0.848 1.321 0.343 0.400 0.743 0.407 0.624 1.032 0.742 2.4 7.4 9.8 0.99 2.5 7.7 10.2
1954 CLE Wally Westlake 274 91 240 109 0.332 0.454 0.786 0.329 0.371 0.700 0.331 0.413 0.743 0.700 0.4 9.9 10.4 1.06 0.4 9.7 10.2
1949 DET Aaron Robinson 411 163 331 140 0.397 0.423 0.820 0.362 0.408 0.770 0.379 0.416 0.795 0.727 7.2 2.7 9.9 0.99 7.4 2.8 10.2
2008 DET Ivan Rodriguez 328 110 302 126 0.335 0.417 0.753 0.315 0.398 0.713 0.325 0.408 0.733 0.754 6.2 5.9 12.2 1.07 5.2 4.9 10.2
1928 DET John Stone 122 46 113 62 0.377 0.549 0.926 0.347 0.419 0.766 0.362 0.484 0.846 0.731 1.7 7.7 9.6 1.00 1.8 8.2 10.2
1922 DET Lu Blue 681 264 584 242 0.388 0.414 0.802 0.358 0.417 0.775 0.373 0.416 0.788 0.735 10.4 -0.3 10.1 0.99 10.5 -0.3 10.2
1991 HOU Steve Finley 656 214 596 242 0.326 0.406 0.732 0.320 0.372 0.692 0.323 0.389 0.712 0.686 2.0 10.0 12.0 0.97 1.7 8.5 10.2
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Columns:
--------

Note: The batter's composite OB% and SLG% is obtained by the sum of all individual
plate appearances. For each PA, the OB% and SLG% used is versus pitchers of the same
hand as the one he's facing.

OPP_PIT_OB: the opposing pitcher OB% against, when facing batters of the same hand
OPP_PIT_SLG: the opposing pitcher SLG% against, when facing batters of the same hand
OPP_PIT_OOPS: the opposing pitcher OB% + SLG% against, when facing batters of the same hand

EXPCT_OB_AVG: the average of the opposing pitcher's OPP_PIT_OB and the batter's OB% (vs. L or R)
EXPCT_SLG_AVG: the average of the opposing pitcher's OPP_PIT_SLG and the batter's SLG% (vs. L or R)
EXPCT_OPS: the average of the opposing pitcher's OOPS and the batter's OPS (vs. L or R)

LG_OPS: the average league OPS, with the league of the home park being the league

PME_OB: the cumulative result of the plate appearance minus the EXPCT_OB_AVG
PME_SLG: the cumulative result of the plate appearance minus the EXPCT_SLG_AVG
PME: the cumulative result of the plate appearance minus the EXPCT_OPS

PF: the composite park factor the batter experienced, based on lefty-righty and park

PME_OB_PF: the cumulative result of the plate appearance minus the EXPCT_OB_AVG, with PF
PME_SLG_PF: the cumulative result of the plate appearance minus the EXPCT_SLG_AVG, with PF
PME_PF: the cumulative result of the plate appearance minus the EXPCT_OPS, with PF


On every pitcher versus batter matchup, we have a contest of the batter's ability and
the pitcher's ability. Although OPS and OOPS are not perfect statistics, they are
widely embraced and are relatively straightforward for most fans. They're approximations.
At some point, this process can be made smarter. Until then, this is where we are.

What is the batter's average ability on any plate appearance in a season? It's his OPS for the
season. Likewise, the pitcher's OOPS on the play is his seasonal OOPS. What is the expected
outcome? It's the average of the two, of course.

However, we have two issues to deal with -- the handedness (L or R) of the batter and pitcher
and the park where each event occurred.

1) Hand: For each and every PA, the expected outcome is affected by the hand of the batter and
pitcher. But, we only care about the batter's and pitcher's seasonal OPS/OOPS when it matches
the same scenario as the specific PA.

For example: If a left-handed batter is facing a right-handed pitcher, we only care about how
the batter did versus right-handed pitchers that year, and how the pitcher did versus left-handed
batters. Those are the specific OPS/OOPS values used from which to build the expected outcome.

Ex.: A LHB faces a RHP. The batter's OPS versus righties that year was 0.800. The pitcher's OOPS
versus lefties was 0.700. The expected outcome is the average of the two, 0.750.

Suppose the batter makes an out. His on-base average on the play was 0.000 and his slugging average
is also 0.000. On the play, the batter attained a negative PME, 0.000 minus 0.750 = -0.750. Meanwhile,
the pitcher attained a positive PME of 0.750 minus 0.000 = 0.750. All plays balance in this way.

What if the batter singles? His OB% was 1.000 and his SLG% is 1.000. That's an OPS of 2.000. His PME
is 2.000 minus 0.750 = 1.250, and the pitcher's PME is 0.750 minus 2.000 = -1.250.

All ~16 million plays in MLB from 1910-2025 were assessed in this manner.



2) Park: The parks where events occurred are important as well. Using the enhanced Park Factors at
this site -- those which break down PFs by L-L, L-R, R-L, R-R by using a base counting method -- a
composite PF is derived based on all of the PAs a batter had that season. After the seasonal PME is
compiled by adding all of the plays that year, the PME is divided by the PF* to obtain the final PME.

* The PME is compiled at the home and road level and divided by the corresponding PF. The PFs may
not seem correct but are indicative of the season. For example, the Rockies of 2001 had a composite
PF of 1.22. Todd Helton's (as a lefty) was more like 1.18. On the road, he was 0.97 -- for a
composite of 1.08 (1.18 + 0.97) / 2, the value shown. Before applying the PF, his home PME was about
96 and road was 9. Thus, most of the PME reduction was caused at home. It drops by ~16% (twice 1.08)
while his road PME stays relatively constant. His park-adjusted PME drops from ~105 to 91.


NOTE: This analysis concerns only what the batter does at the plate. Things like base running and
the quality of the opposing defense is not factored in (aside from taking extra bases on a hit).